The tables will eventually be populated with content by a rule, but for now, you will associate each table with a content spot.
这两个表最终将按照规则被植入内容，但现在您将把每个表与一个内容点关联起来。
Figure 2 shows what happens when the binding of the rule involves columns coming from different tables.
图2展示了规则绑定涉及来自不同表中的列时所发生的情况。
We will then use this rule file in a mining flow to extract the concepts from text columns in relational database tables.
然后，在一个挖掘流中使用这个规则文件，把概念从文本列中提取到关系数据库表中。
A rule group is a type of component implementation that logically groups rule sets and decision tables.
规则组是一种对规则集和决策表进行逻辑分组的组件实现类型。
When you execute a rule, all of the tables that are created have a name made up of a prefix and a suffix.
在执行规则时，所创建的所有表都有由一个前缀和一个后缀所组成的名称。
In this particular case, the execution of the relation will produce a cross product between all the tables and all the owned members that match the criteria explained in the later rule.
在这个特定用例中，关联的执行将会在所有表和所有符合后面规则中解释的标准的用户之间产生一个衔接产品。
Now that you have seen the features of rule groups, rule sets, and decision tables, let's look at a scenario that you can implement using these concepts.
既然您已经看到了规则组、规则集和决策表的特性，让我们研究一个可以使用这些概念来实现的场景。
Business rules - rule sets and decision tables for simple decision making.
业务规则——用于进行简单决策的规则集和决策表。
The tables will eventually be populated with content by a rule.
这两个表最终将按照一条规则植入内容。
When you test a rule definition, it creates the same tables as a normal rule execution.
当测试规则定义时，它会创建作为相同表的一般规则执行。
Each time you run a data rule, a rule definition is tested, and several tables that contain the rule outputs and rule statistics are created in the analysis database.
每次运行数据规则时，都会测试规则定义，而且会在分析数据库中创建几个包含规则输出与规则统计信息的表。
If you run the same data rule several times, new tables are created with each run.
如果多次运行同一个数据规则，每此运行都创建新表。
The most common artifacts provided by almost every industry-leading BRM tool are rule and rule-set templates, decision tables, and decision trees.
几乎所有业界领先的BRM工具都提供的最常用构件是规则和规则集模板、决策表和决策树。
The following tables contain an overview of all functions and tests that you can use in the logic of a data rule.
以下表包含了可用于数据规则逻辑中的所有函数及测试的概述。
The number of tables, and the content of these tables, depend on whether the executed rule is a simple rule or a rule set, as well as the output definition of the rule.
表的数量，以及这些表的内容，基于所执行的是单个规则还是规则集，以及规则定义的输出。
The Update rule controls how update operations performed against tables linked by an RI constraint are processed.
Update规则控制对由 RI约束链接的表执行的更新操作的处理方法。
If the rule bindings involve more than two tables, several join stages are cascaded at the beginning of the InfoSphere DataStage job.
如果规则绑定涉及多于两个表时，在InfoSphereDataStage任务开始时，级联多个连接阶段。
The business rule Group component is a collection of related business rules, which you can express as decision tables or if-then rule sets.
BusinessRuleGroup组件是一个相关业务规则的集合，您可以将其表示成决策表或if - then规则集。
In the absence of such a rule, you can usually combine both tables into one table without breaking any normalization rules.
缺乏这样一条规则，就是在这种关系下，你可以把两个表合并为一个表，而不打破正常化的规则。
Simplification of Decision tables in Roouh set is order to lead decision rule or categorised rule at the least on the basis of the least condition attribute and minimum redundant attribute value.
粗糙集中决策表约简也就是以基于最少的条件属性和最小冗余的属性值导出最少的决策规则或分类规则。
One possible exception to the rule are the "association tables", used for the many-to-many type of associations between 2 tables.
一个可能的例外就是“关联表”，用来表示两个表之间的多对多关系。
One possible exception to the rule are the "association tables", used for the many-to-many type of associations between 2 tables.
一个可能的例外就是“关联表”，用来表示两个表之间的多对多关系。
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